doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in <doi:10.1002/sam.11705>.">

SISIR: Select Intervals Suited for Functional Regression (original) (raw)

Interval fusion and selection procedures for regression with functional inputs. Methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in <doi:10.1007/s11222-018-9806-6> (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in <doi:10.1002/sam.11705>.

Version: 0.2.3
Depends: R (≥ 3.5.0), foreach, doParallel, graphics, stats
Imports: Matrix, expm, RSpectra, glmnet, Boruta, CORElearn, dplyr, mixOmics, purrr, ranger, tidyr, tidyselect, adjclust, magrittr, rlang, ggplot2, aricode, dendextend, reshape2, RColorBrewer
Suggests: testthat
Published: 2024-08-16
DOI: 10.32614/CRAN.package.SISIR
Author: Victor Picheny [aut], Remi Servien [aut], Nathalie VialaneixORCID iD [aut, cre]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix at inrae.fr>
BugReports: https://forgemia.inra.fr/sfcb/sisir/-/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://forgemia.inra.fr/sfcb/sisir
NeedsCompilation: no
Citation: SISIR citation info
Materials: NEWS
CRAN checks: SISIR results

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